Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation

A. Shintemirov, W. H. Tang, Z. Lu, Q. H. Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

The paper presents a simplified mathematical model of disctype transformer winding for frequency response analysis (FRA) based on traveling wave and multiconductor transmission line theories. The simplified model is applied to the FRA simulation of a transformer winding. In order to identify the distributed parameters of the model, an intelligent learning technique, rooted from particle swarm optimiser with passive congregation (PSOPC) is utilised. Simulations and discussions are presented to explore the proposed optimization approach.

Original languageEnglish
Title of host publicationApplications of Evolutionary Computing - EvoWorkshops 2007
Subtitle of host publicationEvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, Proceedings
Pages145-152
Number of pages8
Publication statusPublished - Aug 27 2007
EventEvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG - Valencia, Spain
Duration: Apr 11 2007Apr 13 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4448 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherEvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG
CountrySpain
CityValencia
Period4/11/074/13/07

Keywords

  • Particle swarm optimiser with passive congregation
  • Transformer winding mathematical model

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Shintemirov, A., Tang, W. H., Lu, Z., & Wu, Q. H. (2007). Simplified transformer winding modelling and parameter identification using particle swarm optimiser with passive congregation. In Applications of Evolutionary Computing - EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, Proceedings (pp. 145-152). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4448 LNCS).